STEM OPT Data Analyst Intern Jobs
Data Analyst Intern roles qualify for STEM OPT when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. The 24-month STEM OPT extension gives you up to 36 months total to build analytical experience, complete your I-983 training plan, and pursue long-term sponsorship.
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Get Access To All JobsINTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron in Boise, Idaho has an opening for a HBM Product Yield Enhancement PDFA Engineer where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! This role can be entry level with a Master's Degree or equivalent experience, Senior level, or Staff level.
As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next-generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time-to-market, and enabling rapid production ramp by identifying and resolving component-level failures during new product introduction phases.
In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multi-functional engineering teams and leverage advanced analytics, statistical methods, and AI-enabled tools to improve failure detection, yield, reliability, and overall product performance.
JOB RESPONSIBILITIES
- Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
- Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
- Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
- Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
- Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
- Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multi-functional teams.
- Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
- 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
- Demonstrated analytical and problem-solving skills, including the application of statistical methods and tools for data analysis.
- Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
- Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
- Strong written and verbal communication skills with the ability to collaborate effectively in multi-functional engineering teams.
PREFERRED QUALIFICATIONS
- 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
- 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
- Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
- Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification.
- Experience using statistical analysis software such as JMP.
- Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
- Proven ability to communicate complex technical findings to diverse team members and lead multi-functional collaboration efforts.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3).
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron in Boise, Idaho has an opening for a HBM Product Yield Enhancement PDFA Engineer where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! This role can be entry level with a Master's Degree or equivalent experience, Senior level, or Staff level.
As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next-generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time-to-market, and enabling rapid production ramp by identifying and resolving component-level failures during new product introduction phases.
In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multi-functional engineering teams and leverage advanced analytics, statistical methods, and AI-enabled tools to improve failure detection, yield, reliability, and overall product performance.
JOB RESPONSIBILITIES
- Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
- Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
- Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
- Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
- Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
- Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multi-functional teams.
- Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
- 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
- Demonstrated analytical and problem-solving skills, including the application of statistical methods and tools for data analysis.
- Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
- Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
- Strong written and verbal communication skills with the ability to collaborate effectively in multi-functional engineering teams.
PREFERRED QUALIFICATIONS
- 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
- 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
- Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
- Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification.
- Experience using statistical analysis software such as JMP.
- Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
- Proven ability to communicate complex technical findings to diverse team members and lead multi-functional collaboration efforts.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3).
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
See all 45+ STEM OPT Data Analyst Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Analyst Intern Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Analyst Intern
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a USCIS-approved STEM field. Statistics, computer science, and information systems all qualify, but interdisciplinary degrees sometimes carry non-STEM CIP codes that block the extension.
Confirm E-Verify enrollment before accepting offers
Ask recruiters for their E-Verify Company ID or check enrollment status directly through the E-Verify employer search. A data-focused internship at a startup or research firm may lack E-Verify enrollment, making your STEM OPT extension invalid from day one.
Build your I-983 training plan around measurable analytics goals
Your I-983 must list specific learning objectives tied to your STEM degree, not just job duties. Frame goals around skills like predictive modeling, SQL query optimization, or dashboard development so your DSO and employer can sign off without revision requests.
Target employers with active STEM OPT hiring patterns
Use Migrate Mate to filter Data Analyst Intern roles by employers with verified E-Verify enrollment and STEM OPT hiring history, so you spend time on applications where your work authorization is already understood.
Time your OPT start date to maximize the extension window
USCIS requires you to apply for the STEM OPT extension no later than 90 days before your initial OPT expires. Applying early gives you a 180-day cap-gap buffer if you later pursue H-1B visa sponsorship during the same authorization period.
Use the OFLC Wage Search to benchmark internship offers
STEM OPT employers must pay you the prevailing wage for your role and location. Pull the Level I wage for your SOC code in the OFLC Wage Search before you negotiate, so you can flag underpaying offers that may indicate the employer isn't prepared for OPT compliance.
Frequently Asked Questions
Does a Data Analyst Intern role qualify for the STEM OPT extension?
Yes, if your degree carries an approved STEM CIP code and the role directly applies that field of study. Data analyst positions typically align with STEM degrees in statistics, mathematics, computer science, or information systems. Your DSO confirms eligibility by matching your CIP code against the USCIS STEM Designated Degree Program List before recommending the extension on your I-20.
How do I verify that a Data Analyst Intern employer is enrolled in E-Verify?
Ask the recruiter or HR contact for the company's E-Verify Company ID during the offer stage, before you accept. You can also search employer enrollment status through the E-Verify website. If the employer can't confirm enrollment, you can't use your STEM OPT extension there, regardless of how well the role fits your degree.
What goes into the I-983 training plan for a Data Analyst Intern position?
The I-983 must describe how the internship uses and develops skills from your STEM degree. For a data analyst role, list specific learning goals such as applying statistical methods to business data, building ETL pipelines, or producing reports using tools like Python, R, or SQL. Vague descriptions like 'gaining work experience' get flagged by DSOs and slow down your authorization.
Can I stay authorized if my employer files an H-1B petition while I'm on STEM OPT?
Yes, through cap-gap protection. If your employer files an H-1B petition before your STEM OPT expires and it's selected in the lottery, your work authorization automatically extends through September 30 of that fiscal year while USCIS processes the petition. You must remain employed with the same employer and maintain your F-1 status throughout this period.
Where can I find Data Analyst Intern roles that are verified for STEM OPT students?
Migrate Mate lists Data Analyst Intern positions filtered for employers enrolled in E-Verify, which is the foundational requirement for STEM OPT eligibility. Searching there saves you from spending time on applications at companies that can't legally employ you under the extension, and from discovering the issue after you've already started the offer process.